Unità di ricerca "Artificial Intelligence-based eHealth"
L’Intelligenza Artificiale (IA) è sempre più pervasiva in vari ambiti della nostra vita. La medicina, e più in particolare la telemedicina, non fanno eccezione: è opinione unanime, infatti, che siamo alle soglie di una rivoluzione nell’assistenza sanitaria. Le tecnologie digitali ci permettono oggi di generare una grande quantità di dati; la sfida è utilizzare tale mole di dati per generare nuova conoscenza clinicamente rilevante. L’IA sviluppa algoritmi di varia natura al fine di imparare a comprendere i dati a disposizione.
In particolare, tecniche proprie dell’IA – quali l’apprendimento automatico, la visione artificiale, la programmazione basata su regole, il pattern recognition e il deep learning, ecc. –, sono oggi in grado di identificare pattern significativi nei dati acquisiti e possono essere pertanto applicate efficacemente come ausilio a vari compiti.
Per esempio, possono migliorare la precisione di diagnosi mediche, facilitare lo sviluppo di farmaci, aiutare a prendere decisioni sui trattamenti da somministrare ai pazienti, simulare possibili interventi terapeutici e anticiparne l’esito, come pure ottimizzare processi, decisioni operative e utilizzo delle risorse finanziarie proprie dell’ecosistema sanitario.
Gli operatori sanitari potranno trarre beneficio dall’integrazione dell’IA nella loro pratica clinica tradizionale al fine di affrontare problemi che, per loro complessità, si rivelano onerosi in termini di tempo e, spesso, proni a inefficienza. In questo contesto, medici e operatori sanitari, con la loro capacità di valutare criticamente e utilizzare a proprio vantaggio le predizioni prodotte dagli algoritmi di IA, assumono un ruolo centrale nei processi decisionali diagnostici e terapeutici.
Consigliere Citel
Curriculum vitae
Giovanni Semeraro is full professor of computer science at University of Bari Aldo Moro, Italy, where he teaches “Intelligent Information Access and Natural Language Processing”, and “Programming languages”.He leads the Semantic Web Access and Personalization (SWAP) “Antonio Bello” research group. In 2015 he was selected for an IBM Faculty award on Cognitive Computing for the project “Deep Learning to boost Cognitive Question Answering”. He was one of the founders of AILC (Italian Association for Computational Linguistics) and on the Board of Directors till 2018. From 2006 to 2011 he was on the Board of Directors of AI*IA (Italian Association for Artificial Intelligence). He has been a visiting scientist with the Department of Information and Computer Science, University of California at Irvine, in 1993. From 1989 to 1991 he was a researcher at Tecnopolis CSATA Novus Ortus, Bari, Italy. His research interests include machine learning; AI and language games; recommender systems; user modelling; intelligent information mining, retrieval, and filtering; semantics and social computing; natural language processing; the semantic web; personalization. He has been the principal investigator of University of Bari in several European, national, and regional projects. He is author of more than 500 publications in international journals, conference and workshop proceedings, as well as of 3 books, including the textbook “Semantics in Adaptive and Personalized Systems: Methods, Tools and Applications” published by Springer. He regularly serves in the PC of the top conferences in his areas and is Program Co-Chair of CLiC-it 2019. Among others, he served as Program Co-chair of CLiC-it 2016, ACM RecSys 2015 and as General Co-chair of UMAP 2013. From 2013, he is the coordinator of the 2nd Cycle Degree Program in Computer Science at University of Bari. He is the coordinator of the 1st edition of the Master in Data Science at University of Bari. He is a member of the Steering Committee of the National Laboratory of Artificial Intelligence and Intelligent Systems (AIIS) of the National Interuniversity Consortium for Informatics (CINI) and of the Steering Committee of the ACM Conference Series on Recommender Systems.
Curriculum vitae
Giovanni Semeraro is full professor of computer science at University of Bari Aldo Moro, Italy, where he teaches “Intelligent Information Access and Natural Language Processing”, and “Programming languages”.He leads the Semantic Web Access and Personalization (SWAP) “Antonio Bello” research group. In 2015 he was selected for an IBM Faculty award on Cognitive Computing for the project “Deep Learning to boost Cognitive Question Answering”. He was one of the founders of AILC (Italian Association for Computational Linguistics) and on the Board of Directors till 2018. From 2006 to 2011 he was on the Board of Directors of AI*IA (Italian Association for Artificial Intelligence). He has been a visiting scientist with the Department of Information and Computer Science, University of California at Irvine, in 1993. From 1989 to 1991 he was a researcher at Tecnopolis CSATA Novus Ortus, Bari, Italy. His research interests include machine learning; AI and language games; recommender systems; user modelling; intelligent information mining, retrieval, and filtering; semantics and social computing; natural language processing; the semantic web; personalization. He has been the principal investigator of University of Bari in several European, national, and regional projects. He is author of more than 500 publications in international journals, conference and workshop proceedings, as well as of 3 books, including the textbook “Semantics in Adaptive and Personalized Systems: Methods, Tools and Applications” published by Springer. He regularly serves in the PC of the top conferences in his areas and is Program Co-Chair of CLiC-it 2019. Among others, he served as Program Co-chair of CLiC-it 2016, ACM RecSys 2015 and as General Co-chair of UMAP 2013. From 2013, he is the coordinator of the 2nd Cycle Degree Program in Computer Science at University of Bari. He is the coordinator of the 1st edition of the Master in Data Science at University of Bari. He is a member of the Steering Committee of the National Laboratory of Artificial Intelligence and Intelligent Systems (AIIS) of the National Interuniversity Consortium for Informatics (CINI) and of the Steering Committee of the ACM Conference Series on Recommender Systems.
Il team
Giovanna Castellano is an Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. She is the coordinator of the Computational Intelligence Lab at the Computer Science Department of the University of Bari. She is member of IEEE Computational Intelligence Society, the EUSFLAT society and the INDAM-GNCS society. Her research interests are in the area of Computational Intelligence and Computer Vision. On these topics she has published more than 200 papers in international journals and conference proceedings. She is co-author of the Springer book "Fuzzy Logic for Image Processing: a Gentle Introduction using Java" published in 2017, and co-editor of the Springer book “Web Personalization in Intelligent Environments” published in 2009. She is Associate Editor of Information Sciences, Evolving Systems, International Journal of Intelligent Systems, International Journal of Systems, Control and Communications and International Journal of Knowledge-Based and Intelligent Engineering Systems. She was Co-organizer of the 4th EUSFLAT European Summer School on Fuzzy Logic and Applications (SFLA2018). She is General chair of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (IEEE-EAIS2020).
Giovanna Castellano is an Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. She is the coordinator of the Computational Intelligence Lab at the Computer Science Department of the University of Bari. She is member of IEEE Computational Intelligence Society, the EUSFLAT society and the INDAM-GNCS society. Her research interests are in the area of Computational Intelligence and Computer Vision. On these topics she has published more than 200 papers in international journals and conference proceedings. She is co-author of the Springer book "Fuzzy Logic for Image Processing: a Gentle Introduction using Java" published in 2017, and co-editor of the Springer book “Web Personalization in Intelligent Environments” published in 2009. She is Associate Editor of Information Sciences, Evolving Systems, International Journal of Intelligent Systems, International Journal of Systems, Control and Communications and International Journal of Knowledge-Based and Intelligent Engineering Systems. She was Co-organizer of the 4th EUSFLAT European Summer School on Fuzzy Logic and Applications (SFLA2018). She is General chair of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (IEEE-EAIS2020).
Claudia d'Amato is an Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy where she receved her PhD degree in Computer Science in 2007. She is member of the Knowledge Acquisition and Machine Learning Lab at the Computer Science Department of the University of Bari. Claudia d'Amato pioneered the research on Machine Learning methods for ontology mining that still represents her main research interest. On this topic she has published more than 100 papers in international journals and conference proceedings and she has been also co-editor of 27 textbooks and proceedings. Claudia d'amato has been invited researcher at several universities and research institutes including the university of Koblenz-Landau, the University of Oxford, Poznan University, FBK, INRIA Sophia-Antipolis. She also has been also invited speakers at several international conferences and universities. She is member of the editorial board of the Semantic Web Journal, Journal of Web Semantics and Frontiers in Artificial Intelligence Journal. She served/is serving as: Program Chair at ISWC 2017, ESWC 2014, Resource Track Chair at ISWC 2020, Journal Track chair at WWW 2018 and ISWC 2019, Machine Learning Track Chair at ESWC 2012, 2013, 2016, 2017, 2019, Tutorial Chair at ECAI 2020, IEEE-ICSC 2012, EKAW 2012, ISWC 2012 and PhD Symposium chair at ESWC 2020 and ESWC 2015 and she has been also chair of the Reasoning Web Summer School. She served/is serving as a program committee member of a number of international conferences in the area of Artificial Intelligence, Machine Learning and Semantic Web such as AAAI, IJCAI, ECAI, ECML, ISWC, TheWebconf (previously known as WWW), ESWC. Claudia d'Amato is/has been also member of the Knowledge Representation and Reasoning Working Group as part of the International Federation for Information Processing Technical Committee on Artificial Intelligence (AI), the W3C Incubator Group on Uncertainty Reasoning for the World Wide Web and the IEEE "Semantic Web" Task Force
Claudia d'Amato is an Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy where she receved her PhD degree in Computer Science in 2007. She is member of the Knowledge Acquisition and Machine Learning Lab at the Computer Science Department of the University of Bari. Claudia d'Amato pioneered the research on Machine Learning methods for ontology mining that still represents her main research interest. On this topic she has published more than 100 papers in international journals and conference proceedings and she has been also co-editor of 27 textbooks and proceedings. Claudia d'amato has been invited researcher at several universities and research institutes including the university of Koblenz-Landau, the University of Oxford, Poznan University, FBK, INRIA Sophia-Antipolis. She also has been also invited speakers at several international conferences and universities. She is member of the editorial board of the Semantic Web Journal, Journal of Web Semantics and Frontiers in Artificial Intelligence Journal. She served/is serving as: Program Chair at ISWC 2017, ESWC 2014, Resource Track Chair at ISWC 2020, Journal Track chair at WWW 2018 and ISWC 2019, Machine Learning Track Chair at ESWC 2012, 2013, 2016, 2017, 2019, Tutorial Chair at ECAI 2020, IEEE-ICSC 2012, EKAW 2012, ISWC 2012 and PhD Symposium chair at ESWC 2020 and ESWC 2015 and she has been also chair of the Reasoning Web Summer School. She served/is serving as a program committee member of a number of international conferences in the area of Artificial Intelligence, Machine Learning and Semantic Web such as AAAI, IJCAI, ECAI, ECML, ISWC, TheWebconf (previously known as WWW), ESWC. Claudia d'Amato is/has been also member of the Knowledge Representation and Reasoning Working Group as part of the International Federation for Information Processing Technical Committee on Artificial Intelligence (AI), the W3C Incubator Group on Uncertainty Reasoning for the World Wide Web and the IEEE "Semantic Web" Task Force
Marco de Gemmis is associate professor at the Computer Science Department, University of Bari Aldo Moro, where he received the Ph.D. degree in Computer Science in 2005. He authored over 200 scienti c papers published in international journals and collections, proceedings of international conferences and workshops, and book chapters. His primary research interests include content-based recommender systems, natural language processing, information retrieval, text mining, and in general personalized information filtering. He was a program committee member for international conferences, including the ACM Recommender Systems and the User Modeling, Adaptation and Personalization (UMAP), and organized more than 15 workshops and events on these topics.
He was a Marie Curie Fellow of the SEO-DWARF Project, funded by the European Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant.
He was scientific responsible for one european project and two regional projects.
He was invited speaker at several universities, including the University of Roma 3, the University of the Basque Country, San Sebástian, the University of Cagliari, the University of Milano-Bicocca, the University of Naples Federico II.
He was keynote speaker at the Workshop on Semantics-Enabled Recommender Systems at ICDM 2016 and at the ACM Summer School on Recommender Systems (2017, 2019).
He is the coordinator of the Master in Data Science (2019-2020) at the University of Bari.
Marco de Gemmis is associate professor at the Computer Science Department, University of Bari Aldo Moro, where he received the Ph.D. degree in Computer Science in 2005. He authored over 200 scienti c papers published in international journals and collections, proceedings of international conferences and workshops, and book chapters. His primary research interests include content-based recommender systems, natural language processing, information retrieval, text mining, and in general personalized information filtering. He was a program committee member for international conferences, including the ACM Recommender Systems and the User Modeling, Adaptation and Personalization (UMAP), and organized more than 15 workshops and events on these topics.
He was a Marie Curie Fellow of the SEO-DWARF Project, funded by the European Union's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant.
He was scientific responsible for one european project and two regional projects.
He was invited speaker at several universities, including the University of Roma 3, the University of the Basque Country, San Sebástian, the University of Cagliari, the University of Milano-Bicocca, the University of Naples Federico II.
He was keynote speaker at the Workshop on Semantics-Enabled Recommender Systems at ICDM 2016 and at the ACM Summer School on Recommender Systems (2017, 2019).
He is the coordinator of the Master in Data Science (2019-2020) at the University of Bari.
Pasquale Lops is Associate Professor at the University of Bari, Italy, where he received the Ph.D. in Computer Science in 2005. His research interests include recommender systems and user modeling, with a specific focus on the adoption of techniques for semantic content representation. He has been the principal investigator of University of Bari in two Interreg MED projects. He is author of more than 200 publications, in international journal, conferences and workshop proceedings, as well as of the textbook “Semantics in Adaptive and Personalized Systems: Methods, Tools and Applications”, edited by Springer. He regularly serves in the PC of the top conferences in his areas. He was Area Chair of User Modelling for Recommender Systems at UMAP 2016, and co-organized more than 20 workshops related to user modeling and recommender systems. He gave a tutorial on “Semantics-Aware Techniques for Social Media Analysis, User Modeling, and Recommender Systems” at UMAP 2016 and 2017, he was a speaker at two editions of the ACM Summer School on Recommender Systems. He was a keynote speaker at the 1st Workshop on New Trends in Contentbased Recommender Systems (CBRecSys) at RecSys 2014, and he gave the interview “Beyond TFIDF” in the Coursera MOOC on Recommender Systems. He is the coordinator of the 2nd and upcoming 4th edition of the Master in Data Science at University of Bari.
Pasquale Lops is Associate Professor at the University of Bari, Italy, where he received the Ph.D. in Computer Science in 2005. His research interests include recommender systems and user modeling, with a specific focus on the adoption of techniques for semantic content representation. He has been the principal investigator of University of Bari in two Interreg MED projects. He is author of more than 200 publications, in international journal, conferences and workshop proceedings, as well as of the textbook “Semantics in Adaptive and Personalized Systems: Methods, Tools and Applications”, edited by Springer. He regularly serves in the PC of the top conferences in his areas. He was Area Chair of User Modelling for Recommender Systems at UMAP 2016, and co-organized more than 20 workshops related to user modeling and recommender systems. He gave a tutorial on “Semantics-Aware Techniques for Social Media Analysis, User Modeling, and Recommender Systems” at UMAP 2016 and 2017, he was a speaker at two editions of the ACM Summer School on Recommender Systems. He was a keynote speaker at the 1st Workshop on New Trends in Contentbased Recommender Systems (CBRecSys) at RecSys 2014, and he gave the interview “Beyond TFIDF” in the Coursera MOOC on Recommender Systems. He is the coordinator of the 2nd and upcoming 4th edition of the Master in Data Science at University of Bari.
Pierpaolo Basile is an Assistant Professor at the Department of Computer Science, University of Bari "Aldo Moro" where he received his Ph.D. in Computer Science in 2009. He is a member of the Semantic Web Access and Personalization Research Group at the University of Bari and a board member of the Italian Association for Computational Linguistics. Pierpaolo Basile focused his research on Natural Language Processing, in particular on Lexical Semantics. He has published several papers in international journals and conference/workshop proceedings.
He has been invited researcher at the Alan Turing Institute (UK), where he investigated diachronic approaches for lexical semantic change detection.
Pierpaolo Basile co-organized several evaluation campaigns for natural language processing tools and conferences/workshops on the same topic. I served as a program committee member in international conferences in Natural Language Processing, Artificial Intelligence, and Semantic Web: ACL, EACL, EMNLP, IJCAI, ISWC, ESWC.
Pierpaolo Basile is an Assistant Professor at the Department of Computer Science, University of Bari "Aldo Moro" where he received his Ph.D. in Computer Science in 2009. He is a member of the Semantic Web Access and Personalization Research Group at the University of Bari and a board member of the Italian Association for Computational Linguistics. Pierpaolo Basile focused his research on Natural Language Processing, in particular on Lexical Semantics. He has published several papers in international journals and conference/workshop proceedings.
He has been invited researcher at the Alan Turing Institute (UK), where he investigated diachronic approaches for lexical semantic change detection.
Pierpaolo Basile co-organized several evaluation campaigns for natural language processing tools and conferences/workshops on the same topic. I served as a program committee member in international conferences in Natural Language Processing, Artificial Intelligence, and Semantic Web: ACL, EACL, EMNLP, IJCAI, ISWC, ESWC.
GENNARO VESSIO received the M.Sc. degree (Hons.) in Computer Science and the Ph.D. degree in Computer Science and Mathematics from the Department of Computer Science, University of Bari, Italy, respectively in 2013 and 2017, where he is currently Assistant Professor. His current research interests include pattern recognition, machine and deep learning, and computer vision, and their application to diverse domains, including biometrics, e-health and cultural heritage. He is co-author of articles in these fields, which have appeared in international journals and conferences, such as Expert Systems with Applications, IEEE Access and Cognitive Computation. He is co-author of a book on mathematics exercises for economics students, written in Italian. He was guest editor of the special issue “Advancements in Artificial Intelligence for Neurodegenerative Diseases Assessment” in the AI journal (2019-20) and of the special issue “Fine Art Pattern Extraction and Recognition” in the Journal of Imaging (2020-21). He was local arrangement chair of EAIS 2020 and co-organizer of FAPER 2020 within ICPR 2020. He has won some awards, including best paper, best presentation, best reviewer and an NVIDIA GPU grant. He regularly serves as a reviewer for many international journals published by high-level publishers, including Elsevier, IEEE and Springer, and as a member of the Program Committee of many international conferences, such as IJCAI and SEKE. He is also regularly involved in the teaching activities of his department and in scientific dissemination activities. He is currently a member of the INdAM-GNCS society, the IAPR Technical Committee 19 (Computer Vision for Cultural Heritage Applications), the AIxIA association, the CINI-AIIS laboratory, GRIN, MIR Labs and the REPRISE register of experts.
GENNARO VESSIO received the M.Sc. degree (Hons.) in Computer Science and the Ph.D. degree in Computer Science and Mathematics from the Department of Computer Science, University of Bari, Italy, respectively in 2013 and 2017, where he is currently Assistant Professor. His current research interests include pattern recognition, machine and deep learning, and computer vision, and their application to diverse domains, including biometrics, e-health and cultural heritage. He is co-author of articles in these fields, which have appeared in international journals and conferences, such as Expert Systems with Applications, IEEE Access and Cognitive Computation. He is co-author of a book on mathematics exercises for economics students, written in Italian. He was guest editor of the special issue “Advancements in Artificial Intelligence for Neurodegenerative Diseases Assessment” in the AI journal (2019-20) and of the special issue “Fine Art Pattern Extraction and Recognition” in the Journal of Imaging (2020-21). He was local arrangement chair of EAIS 2020 and co-organizer of FAPER 2020 within ICPR 2020. He has won some awards, including best paper, best presentation, best reviewer and an NVIDIA GPU grant. He regularly serves as a reviewer for many international journals published by high-level publishers, including Elsevier, IEEE and Springer, and as a member of the Program Committee of many international conferences, such as IJCAI and SEKE. He is also regularly involved in the teaching activities of his department and in scientific dissemination activities. He is currently a member of the INdAM-GNCS society, the IAPR Technical Committee 19 (Computer Vision for Cultural Heritage Applications), the AIxIA association, the CINI-AIIS laboratory, GRIN, MIR Labs and the REPRISE register of experts.
Berardina De Carolis is an assistant professor at Department of Computer Science, University of Bari "Aldo Moro", Italy, where she leads the Intelligent Interfaces Lab. Her research interests at the moment include affective computing, social robotics, and user modeling. She has published over 150 scientific papers in international journals, books, and conference proceedings. She is in the program committee of several international conferences, and guest editor of special issues of international scientific journals as well as a regular reviewer of many other international journals. She was involved in the organization of several workshops on intelligent interfaces and social robotics.
Berardina De Carolis is an assistant professor at Department of Computer Science, University of Bari "Aldo Moro", Italy, where she leads the Intelligent Interfaces Lab. Her research interests at the moment include affective computing, social robotics, and user modeling. She has published over 150 scientific papers in international journals, books, and conference proceedings. She is in the program committee of several international conferences, and guest editor of special issues of international scientific journals as well as a regular reviewer of many other international journals. She was involved in the organization of several workshops on intelligent interfaces and social robotics.
Eng. Stefano Ferilli, PhD [born 1972, Graduated in Computer Science in 1996, Ph.D. in Computer Science 2001, Specialistic degree in Computer Science 2003] is an Associate Professor at the Department of Computer Science of the University of Bari since 2006 (first appointment 2002). 2006-2018 Director of the Inter-Departmental Center for Logic and Applications of the University of Bari. His research interests are centered on Logic and Algebraic Foundations of Machine Learning, Inductive Logic Programming, Theory Revision, Multi-Strategy Learning, Knowledge Representation, Expert Systems, Data Mining. Applications include Electronic Document Processing and Digital Libraries, Process Mining, Ambient Intelligence, Bioinformatics. He currently leads the Machine Learning group at the LACAM laboratory of the University of Bari. He participated in various National and European (ESPRIT and IST) projects concerning these topics, some with coordination responsibilities. (Co-)author of more than 300 papers published on National and International journals, books and conferences/workshops proceedings. Associate Editor of 2 international journals, and involved in the organization of national and international scientific events and journals. Since 2011 member of the Steering Committee, and since 2015 Treasurer, of the Italian Association for Artificial Intelligence.
Eng. Stefano Ferilli, PhD [born 1972, Graduated in Computer Science in 1996, Ph.D. in Computer Science 2001, Specialistic degree in Computer Science 2003] is an Associate Professor at the Department of Computer Science of the University of Bari since 2006 (first appointment 2002). 2006-2018 Director of the Inter-Departmental Center for Logic and Applications of the University of Bari. His research interests are centered on Logic and Algebraic Foundations of Machine Learning, Inductive Logic Programming, Theory Revision, Multi-Strategy Learning, Knowledge Representation, Expert Systems, Data Mining. Applications include Electronic Document Processing and Digital Libraries, Process Mining, Ambient Intelligence, Bioinformatics. He currently leads the Machine Learning group at the LACAM laboratory of the University of Bari. He participated in various National and European (ESPRIT and IST) projects concerning these topics, some with coordination responsibilities. (Co-)author of more than 300 papers published on National and International journals, books and conferences/workshops proceedings. Associate Editor of 2 international journals, and involved in the organization of national and international scientific events and journals. Since 2011 member of the Steering Committee, and since 2015 Treasurer, of the Italian Association for Artificial Intelligence.
Marco Polignano is an assistant professor (RTD-A) researcher at the Computer Science Department of the University of Bari, Aldo Moro, Italy, in the SWAP research group. He has been a Ph.D. student from 2014 to 2017, and he receives the Ph.D. in Computer Science and Mathematics in 2018, at the same university, with the thesis titled "An affect-aware computational model for supporting decision-making through recommender systems". He was a program committee member and reviewer for many journal and international conferences, the local organizing committee for the Ai*iA 2017 and CLiC-it 2019 conferences, organizer of the Evalita 2018 challenge - ABSITA about the aspect-based sentiment analysis and exUm 2020 Workshop at UMAP 2020 about user modelig and explanation. Moreover, he has been a reviewer for many international journals and conferences papers. In 2016 and 2018, he was a Marie Skłodowska-Curie Research and Innovation Staff Exchange (MSCA-RISE) fellow, involved in the project N. 691071, titled "Seo-Dwarf: Semantic EO Data Web Alert and Retrieval Framework". His research interests are about Information Filtering, Recommender Systems, Cognitive computing, Natural Language Processing. During his career, he gained skills in Artificial Intelligence, Machine Learning and Data Mining over big data for Data Science.
Marco Polignano is an assistant professor (RTD-A) researcher at the Computer Science Department of the University of Bari, Aldo Moro, Italy, in the SWAP research group. He has been a Ph.D. student from 2014 to 2017, and he receives the Ph.D. in Computer Science and Mathematics in 2018, at the same university, with the thesis titled "An affect-aware computational model for supporting decision-making through recommender systems". He was a program committee member and reviewer for many journal and international conferences, the local organizing committee for the Ai*iA 2017 and CLiC-it 2019 conferences, organizer of the Evalita 2018 challenge - ABSITA about the aspect-based sentiment analysis and exUm 2020 Workshop at UMAP 2020 about user modelig and explanation. Moreover, he has been a reviewer for many international journals and conferences papers. In 2016 and 2018, he was a Marie Skłodowska-Curie Research and Innovation Staff Exchange (MSCA-RISE) fellow, involved in the project N. 691071, titled "Seo-Dwarf: Semantic EO Data Web Alert and Retrieval Framework". His research interests are about Information Filtering, Recommender Systems, Cognitive computing, Natural Language Processing. During his career, he gained skills in Artificial Intelligence, Machine Learning and Data Mining over big data for Data Science.
Cataldo Musto is Assistant Professor at the Department of Computer Science, University of Bari. He completed his Ph.D. in 2012 with the thesis titled “Enhanced Vector-Space Models for Content-based Recommender Systems”. His research focuses on recommender systems and spreads over different lines, ranging from techniques for semantic content representation to explanation methods for recommendation algorithms, passing through user modeling strategies and the exploitation of knowledge graphs and open knowledge sources for recommendation tasks. He regularly acts as a program committee member for the ACM Recommender Systems Conference, and the Conference on User Modeling Adaptation and Personalization and he organized several events related to user modeling and recommender systems. In 2016 and 2017 he gave a tutorial at UMAP conference about the exploitation of semantics-aware representation in content-based personalized systems. Recently, he organized the workshop on Explainable User Modeling (ExUM), jointly held with UMAP 2019, UMAP 2020 and UMAP 2021. He is also author of the textbook "Semantics in Adaptive and Personalized Systems: Methods, Tools and Applications", edited by Springer.
Cataldo Musto is Assistant Professor at the Department of Computer Science, University of Bari. He completed his Ph.D. in 2012 with the thesis titled “Enhanced Vector-Space Models for Content-based Recommender Systems”. His research focuses on recommender systems and spreads over different lines, ranging from techniques for semantic content representation to explanation methods for recommendation algorithms, passing through user modeling strategies and the exploitation of knowledge graphs and open knowledge sources for recommendation tasks. He regularly acts as a program committee member for the ACM Recommender Systems Conference, and the Conference on User Modeling Adaptation and Personalization and he organized several events related to user modeling and recommender systems. In 2016 and 2017 he gave a tutorial at UMAP conference about the exploitation of semantics-aware representation in content-based personalized systems. Recently, he organized the workshop on Explainable User Modeling (ExUM), jointly held with UMAP 2019, UMAP 2020 and UMAP 2021. He is also author of the textbook "Semantics in Adaptive and Personalized Systems: Methods, Tools and Applications", edited by Springer.
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